Cargando…

Numerical Built-In Method for the Nonlinear JRC/JCS Model in Rock Joint

The joint surface is widely distributed in the rock, thus leading to the nonlinear characteristics of rock mass strength and limiting the effectiveness of the linear model in reflecting characteristics. The JRC/JCS model is the nonlinear failure criterion and generally believed to describe the chara...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Qunyi, Xing, Wanli, Li, Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3944205/
https://www.ncbi.nlm.nih.gov/pubmed/24693245
http://dx.doi.org/10.1155/2014/735497
_version_ 1782306342056230912
author Liu, Qunyi
Xing, Wanli
Li, Ying
author_facet Liu, Qunyi
Xing, Wanli
Li, Ying
author_sort Liu, Qunyi
collection PubMed
description The joint surface is widely distributed in the rock, thus leading to the nonlinear characteristics of rock mass strength and limiting the effectiveness of the linear model in reflecting characteristics. The JRC/JCS model is the nonlinear failure criterion and generally believed to describe the characteristics of joints better than other models. In order to develop the numerical program for JRC/JCS model, this paper established the relationship between the parameters of the JRC/JCS and Mohr-Coulomb models. Thereafter, the numerical implement method and implementation process of the JRC/JCS model were discussed and the reliability of the numerical method was verified by the shear tests of jointed rock mass. Finally, the effect of the JRC/JCS model parameters on the shear strength of the joint was analyzed.
format Online
Article
Text
id pubmed-3944205
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher Hindawi Publishing Corporation
record_format MEDLINE/PubMed
spelling pubmed-39442052014-04-01 Numerical Built-In Method for the Nonlinear JRC/JCS Model in Rock Joint Liu, Qunyi Xing, Wanli Li, Ying ScientificWorldJournal Research Article The joint surface is widely distributed in the rock, thus leading to the nonlinear characteristics of rock mass strength and limiting the effectiveness of the linear model in reflecting characteristics. The JRC/JCS model is the nonlinear failure criterion and generally believed to describe the characteristics of joints better than other models. In order to develop the numerical program for JRC/JCS model, this paper established the relationship between the parameters of the JRC/JCS and Mohr-Coulomb models. Thereafter, the numerical implement method and implementation process of the JRC/JCS model were discussed and the reliability of the numerical method was verified by the shear tests of jointed rock mass. Finally, the effect of the JRC/JCS model parameters on the shear strength of the joint was analyzed. Hindawi Publishing Corporation 2014-02-11 /pmc/articles/PMC3944205/ /pubmed/24693245 http://dx.doi.org/10.1155/2014/735497 Text en Copyright © 2014 Qunyi Liu et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Liu, Qunyi
Xing, Wanli
Li, Ying
Numerical Built-In Method for the Nonlinear JRC/JCS Model in Rock Joint
title Numerical Built-In Method for the Nonlinear JRC/JCS Model in Rock Joint
title_full Numerical Built-In Method for the Nonlinear JRC/JCS Model in Rock Joint
title_fullStr Numerical Built-In Method for the Nonlinear JRC/JCS Model in Rock Joint
title_full_unstemmed Numerical Built-In Method for the Nonlinear JRC/JCS Model in Rock Joint
title_short Numerical Built-In Method for the Nonlinear JRC/JCS Model in Rock Joint
title_sort numerical built-in method for the nonlinear jrc/jcs model in rock joint
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3944205/
https://www.ncbi.nlm.nih.gov/pubmed/24693245
http://dx.doi.org/10.1155/2014/735497
work_keys_str_mv AT liuqunyi numericalbuiltinmethodforthenonlinearjrcjcsmodelinrockjoint
AT xingwanli numericalbuiltinmethodforthenonlinearjrcjcsmodelinrockjoint
AT liying numericalbuiltinmethodforthenonlinearjrcjcsmodelinrockjoint